Co-occurring keywords · papers mentioning both
Papers
Clustering above Exponential Families with Tempered Exponential Measures
AISTATS 2023
Deep equilibrium models as estimators for continuous latent variables
AISTATS 2023
Fair Densities via Boosting the Sufficient Statistics of Exponential Families
ICML 2023
Generic Unsupervised Optimization for a Latent Variable Model With Exponential Family Observables
JMLR 2023
Learning Exponential Families from Truncated Samples
NeurIPS 2023
Provable benefits of score matching
NeurIPS 2023
Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation Group
AISTATS 2023
Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation
ICLR 2022
Bregman Power k-Means for Clustering Exponential Family Data
ICML 2022
Declarative nets that are equilibrium models
ICLR 2022
Exponential Family Model-Based Reinforcement Learning via Score Matching
NeurIPS 2022
Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits
NeurIPS 2022
Invariant Causal Representation Learning for Out-of-Distribution Generalization
ICLR 2022
Kernel Multimodal Continuous Attention
NeurIPS 2022
Learning and Covering Sums of Independent Random Variables with Unbounded Support
NeurIPS 2022
Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions
ICLR 2022
Nonparametric exponential family graph embeddings for multiple representation learning
UAI 2022
Online Updating of Conditional Linear Gaussian Bayesian Networks
PGM 2022
Sparse Continuous Distributions and Fenchel-Young Losses
JMLR 2022
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics
ICML 2022
Two-mode Networks: Inference with as Many Parameters as Actors and Differential Privacy
JMLR 2022
VAE Approximation Error: ELBO and Exponential Families
ICLR 2022
A Computationally Efficient Method for Learning Exponential Family Distributions
NeurIPS 2021
Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent
AISTATS 2021
Hypothesis testing with low-degree polynomials in the Morris class of exponential families
COLT 2021